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Welcome to GroundX

GroundX turns complex documents — PDFs, presentations, scanned forms, websites — into grounded answers and structured JSON. It works the same way whether the thing calling GroundX is your application code or an AI agent operating on your behalf.

What GroundX Does

  • Document understanding — converts complex documents into clean, structured, LLM-ready data, extracting the fields, tables, and context that raw OCR misses.
  • End-to-end RAG — ingests documents into a searchable bucket and returns grounded, source-attributed answers ready to hand to an LLM.
  • Structured extraction — turns varied document formats into consistent structured JSON your application can use directly.
  • Document classification — routes documents by type, intent, or workflow need so the right extraction, review, or answer path runs next.
  • Smart reports — runs a defined set of grounded questions and assembles the answers into a source-backed report that can be reviewed or extended.

Choose How You Want To Use GroundX

  • Agent Harness — use it when you want Claude, Codex, or another agent to plan and execute GroundX work for you: ingest documents, run searches, extract structured data, debug a stuck process, or explain a GroundX concept. It gives the agent GroundX-specific instructions and workflows instead of making it rediscover the platform from scratch — the fastest path if an agent is doing the work. MCP is one piece of Agent Harness; you reach hosted MCP tools by choosing Agent Harness, not as a standalone alternative.
  • SDKs/REST — use it when your application code calls GroundX directly. Call the Python or TypeScript SDK, or the REST API with X-API-Key authentication, from your own services.
  • On-prem — a deployment model for running GroundX in a controlled, security-conscious, or air-gapped environment.

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